Announcements

Special Issue on BJO&PM

2023-05-05

Call for articles for a special issue on: " New developments in statistical process monitoring and control"

Guest editors:

Subhabrata Chakraborti (Chair of the special issue editorial board), University of Alabama, USA
Felipe S. Jardim, Universidade Federal Fluminense, Brazil
Nirpeksh Kumar, Banaras Hindu University, India
Martin Guillermo Cornejo Sarmiento, University of Lima, Peru
Marcela Aparecida Guerreiro Machado, Universidade Estadual Paulista, Brazil

Statistical monitoring of the quality of products and services has always been of fundamental importance for companies to remain healthy in an increasingly competitive market. Research and applications in the field of statistical process monitoring and control (SPMC) are undergoing several changes that accompany significant technological innovations in real applications, such as artificial intelligence, 3D printers, the Internet of Things, Big Data and machine-to-machine communication. For example, these new technologies enable faster and more reliable data collection that can be used to improve the effectiveness of quality control and monitoring methods, such as control charts.

Neste novo cenário, há um aumento do interesse e da demanda tanto por acadêmicos quanto por profissionais na área de monitoramento e controle estatístico de processos e pesquisadores vêm estudando novas estratégias para aumentar a eficiência de diversos gráficos de controle, como gráficos por variáveis ​​ou atributos, com parâmetros conhecidos e desconhecidos, para monitoramento da média e da variabilidade de processos univariados ou multivariados, com ou sem correlação.

The aim of this special issue is to capture some of the new trends and studies in this field. The aim is to identify recent research and new issues in the field, as well as future areas of interest. Original methodological contributions, along with applications and case studies are of interest. The special issue is aimed at Brazilian and international researchers working on these topics, to build possible collaborations.

Topics
Suitable topics related to Statistical Process Monitoring and Control include, but are not limited to, the following:

  • Monitoring and non-parametric statistical process control;

  • Statistical control of multivariate processes;

  • Economic design of control charts;

  • Capability indices, acceptance sampling and acceptance control charts;

  • Profile monitoring;

  • Effects of parameter estimation on control charts;

  • Control charts in health applications;

  • Control charts for autocorrelated data;

  • Control charts for modern environments (such as Big Data) and non-standard applications;

  • Network monitoring;

  • Other topics not listed above.

    Important dates

  • Manuscript submission deadline: November 2024

  • Notification of First Decision: February 2025

  • Revised version sent: March 2025

Guidelines for future authors can be found at

https://bjopm.org.br/bjopm/about/submissions

 

Read more about Special Issue on BJO&PM

Current Issue

Vol. 21 No. 3 (2024)
Published: 2024-06-17

Articles

  • Indicators and performance requirements for suppliers’ evaluation in the Brazilian electricity sector

    Thamires Eis Duarte, Priscilla Cristina Cabral Ribeiro, Helder Gomes Costa
    1984
    DOI: https://doi.org/10.14488/BJOPM.1984.2024
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Brazilian Journal of Operations and Production Management (ISSN (Online): 2237-8960) is a Journal of  ABEPRO - Brazilian Association of Production Engineering. BJO&PM mission is to provide  an internationally respected stream for original and relevant research.

Altough BJO&PM is a multidisciplinary journal our mean focus is applied research in the following areas: Economic and Financial Management;Environmental Management; Ergonomics and Safety; Ethics and Corporate Social Responsibility; Information Technology; Operational Research; Organization and Strategy; Planning and Production Control; Project Management; Supply Chain Management and Logistics; Technology and Information Systems; Technology and Innovation.

The current editor-in-chief is the Prof. Dr. Julio Vieira Neto from Federal Fluminense University.